Agent skill

Systematic Debugging

by cbrock84 in cbrock84/headcount

Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix.

MITAuto-check passedDevelopment

Install Systematic Debugging

skills CLI
$ npx skills add cbrock84/headcount --skill systematic-debugging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cbrock84/headcount systematic-debugging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/technology/skills/systematic-debugging .claude/skills/systematic-debugging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
systematic-debugging
GitHub stars
2k
Token cost
~657 tokens
SKILL.md length
350 words
Files
1
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix.

  • Works in 6 steps: Reproduce it deterministically. If you… → Narrow the blast radius. Bisect: which… → State a hypothesis that can be wrong.… → …
  • A fix has been attempted and did not work
  • SKILL.md covers The rule, Method, Anti-patterns and Never, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Systematic Debugging is an agent skill from cbrock84/headcount. Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Use this whenever something is broken and the cause is not yet proven — a failing test, a production error, intermittent behavior, or a symptom that appeared after a change. Also use when a fix has been attempted and did not work, or when the same bug keeps coming back.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Failing and flaky tests, Debugging and Root cause analysis. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • A fix has been attempted and did not work
  • The same bug keeps coming back

Example prompts

  • “Use the systematic-debugging skill to find the root cause of a bug, test failure, or unexpected behavior before proposing any fix”
  • “/systematic-debugging”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Reproduce it deterministically. If you cannot make it happen on demand, you cannot know when
  2. Narrow the blast radius. Bisect: which commit, which input, which branch, which layer. Halve
  3. State a hypothesis that can be wrong. "The cache returns stale rows after a write" is a
  4. Test the hypothesis directly — a log line, a breakpoint, a probe. Prove it, do not infer it.
  5. Explain the whole symptom. If your cause explains the error but not why it started Tuesday,
  6. Fix, then verify by reverting. Put the bug back and confirm the test fails again. This is the

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Systematic Debugging loads about 657 tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~657

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 350 words, ~657 tokens.

Download SKILL.mdSave it as .claude/skills/systematic-debugging/SKILL.md (or your agent's skills folder).
name
systematic-debugging
description
Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Use this whenever something is broken and the cause is not yet proven — a failing test, a production error, intermittent behavior, or a symptom that appeared after a change. Also use when a fix has been attempted and did not work, or when the same bug keeps coming back.

Systematic debugging

The rule

No fix before the cause is proven. A change that makes a symptom disappear without an explanation has not fixed anything — it has moved the failure somewhere you are not looking.

Method

  1. Reproduce it deterministically. If you cannot make it happen on demand, you cannot know when it is fixed. Intermittent means you have not found the variable yet — order, timing, state, environment, data.
  2. Narrow the blast radius. Bisect: which commit, which input, which branch, which layer. Halve the search space with each step rather than reading everything.
  3. State a hypothesis that can be wrong. "The cache returns stale rows after a write" is a hypothesis. "Something is wrong with caching" is not.
  4. Test the hypothesis directly — a log line, a breakpoint, a probe. Prove it, do not infer it.
  5. Explain the whole symptom. If your cause explains the error but not why it started Tuesday, you have found a bug, not the bug.
  6. Fix, then verify by reverting. Put the bug back and confirm the test fails again. This is the step people skip, and it is the one that proves causation rather than coincidence.
Show full SKILL.md (154 more words)Show less

Anti-patterns

  • Shotgun changes — altering several things at once. Now you cannot attribute the fix.
  • "Probably a flake." Not a diagnosis. A test that fails intermittently is reporting a real race, ordering dependency, or shared-state leak.
  • Fixing the symptom — catching the exception, adding a retry, widening a timeout — without knowing what threw it.
  • Trusting the error message's location. Where it surfaced is rarely where it originated.

Never

  • Close a bug without a reproduction that failed before the fix and passes after it.
  • Deploy a change to production to find out whether it works. Reproduce somewhere you can observe first.
  • Change the environment and the code in the same step.
  • Leave a debugging aid in the code as the fix — a widened timeout, a disabled check, a swallowed exception.

Return contract

State the reproduction, the proven cause, the fix, and the verification that the fix addresses that cause specifically. Name anything you ruled out and how.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/technology/skills/systematic-debugging of cbrock84/headcount.

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Systematic Debugging next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Systematic Debugging compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Systematic Debugging this skillcbrock84/headcount2k—~657Automated safety check: PassMIT
Root Cause Debuggingjsmastery-pro/skills1.4k—~1.8kAutomated safety check: NotesMIT
Superpowers Systematic Debuggingchristopherarter/superpowers-reasonix102—~2kAutomated safety check: PassMIT
Minimal Code Fixcobusgreyling/loop-engineering11k1 repos~345Automated safety check: NotesMIT
Failure Diagnosis LoopTotoro-jam/battle-tested-patterns343—~319Automated safety check: PassMIT
Hypothesis-Driven DebuggingLichAmnesia/lich-skills234—~2.5kAutomated safety check: PassMIT

Similar skills

  • Root Cause Debugging

    jsmastery-pro/skills

    Runs a reproduce, localize, hypothesize, test, fix and verify loop to find a bug's root cause, applies the minimal fix and hands off a regression test.

    1.4k GitHub stars~1.8k tokensUpdated 1 mo ago
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  • Superpowers Systematic Debugging

    christopherarter/superpowers-reasonix

    Any bug, failing or flaky test, or surprise behavior?. An agent skill from christopherarter/superpowers-reasonix.

    102 GitHub stars~2k tokensUpdated 1 mo ago
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  • Minimal Code Fix

    cobusgreyling/loop-engineering

    Makes the smallest code change that fixes one well-scoped problem, such as a CI failure, review comment or typo, without refactoring anything unrelated.

    11k GitHub starsUsed in 1 repo~345 tokens
    DevelopmentAuto-check: notes
  • Failure Diagnosis Loop

    Totoro-jam/battle-tested-patterns

    Walks the agent through a fixed loop for failing tests and build errors: reproduce, isolate, hypothesize, instrument, fix, verify, then add a regression test.

    343 GitHub stars~319 tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Hypothesis-Driven Debugging

    LichAmnesia/lich-skills

    Replaces trial-and-error fixing with an observe, hypothesize, experiment and conclude loop kept in DEBUG.md, where no fix is allowed before evidence supports a cause.

    234 GitHub stars~2.5k tokensUpdated 3 mo ago
    DevelopmentAuto-check passed
  • Test Guided Bug Detector

    ArabelaTso/Skills-4-SE

    Analyze failing tests to detect functional bugs in code. An agent skill from ArabelaTso/Skills-4-SE.

    253 GitHub stars~2.8k tokensUpdated 1 mo ago
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Questions about Systematic Debugging

What does Systematic Debugging do?

Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Systematic Debugging is an agent skill from cbrock84/headcount. Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix.

When should I use Systematic Debugging?

Systematic Debugging fits situations like: A fix has been attempted and did not work; the same bug keeps coming back.

How do I install Systematic Debugging in Claude Code?

Run `npx skills add cbrock84/headcount --skill systematic-debugging -a claude-code`. Or copy the skill folder (plugins/technology/skills/systematic-debugging in cbrock84/headcount) into .claude/skills/systematic-debugging in your project. Claude Code loads it when a task matches its description.

How do I install Systematic Debugging in Codex?

Run `npx skills add cbrock84/headcount --skill systematic-debugging -a codex`. Or copy the skill folder (plugins/technology/skills/systematic-debugging in cbrock84/headcount) into .agents/skills/systematic-debugging in your project. Codex loads it when a task matches its description.

Can I use Systematic Debugging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cbrock84/headcount --skill systematic-debugging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/systematic-debugging, .gemini/skills/systematic-debugging, .github/skills/systematic-debugging and .opencode/skills/systematic-debugging in your project.

What does Systematic Debugging need to run?

SKILL.md names no scripts, command-line tools or credentials: Systematic Debugging is instructions for the agent only.

Does Systematic Debugging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Systematic Debugging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Systematic Debugging use?

Systematic Debugging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Systematic Debugging use?

About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Systematic Debugging?

Skills that share tags, products or a category with Systematic Debugging: Root Cause Debugging (jsmastery-pro/skills, 1.4k stars), Superpowers Systematic Debugging (christopherarter/superpowers-reasonix, 102 stars), Minimal Code Fix (cobusgreyling/loop-engineering, 11k stars) and Failure Diagnosis Loop (Totoro-jam/battle-tested-patterns, 343 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Systematic Debugging?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,001 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.